[PyX-user] Assembling graph.data.values For Plotting

[Rich S. <rsh...@ap...>]

   I need to assemble all curves for a single plot before calling the plot
command. I've tried doing this using a list, and appending the
graph.data.values() for each curve to it. But, it's not working.

   For example, when trying to plot both linear increasing and linear
decreasing curves on the same axes, only the last one called is plotted.

   The calling function includes this code:

       elif row[4] == 'Linear Increasing':
         testFunctions.linearIncrCurve(row[8],row[11])
         curveList.append(graph.data.values(x=appData.plotX, y=appData.plotY))
         appData.plotX = None
         appData.plotY = None
       elif row[4] == 'Linear Decreasing':
         testFunctions.linearDecrCurve(row[10],row[9])
         curveList.append(graph.data.values(x=appData.plotX, y=appData.plotY))
         appData.plotX = None
         appData.plotY = None

   The two functions in the testFunctions module are:

       def linearIncrCurve(ll, hr):
 	lowLeft = ll
 	highRight = hr
 	x, y = zip(*[(lowLeft, 0.0), (highRight, 1.0)])
 	appData.plotX = x
 	appData.plotY = y

       def linearDecrCurve(hl, lr):
 	highLeft = hl
 	lowRight = lr
 	x, y = zip(*[(highLeft, 1.0), (lowRight, 0.0)])
 	appData.plotX = x
 	appData.plotY = y

   It appears the reason I cannot create a list of these curves is that they
are pyx.graph.graph.graphxy.instances rather than string or numeric data.

   I'd appreciate suggestions on how to accumulate the appropriate curves for
a single plot that holds them all until the plot() function is called.

Rich

-- 
Richard B. Shepard, Ph.D.               |  Integrity            Credibility
Applied Ecosystem Services, Inc.        |            Innovation
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